Several conditions as driver imprudence, road conditions and obstacles are the main factors that will cause road accidents. The most important automotive industries are incorporating technology to reduce risk in vehicles. Their products are expensive and lack flexibility to incorporate new features. This work presented a first approach to increase vehicle safety based on regional features. A framework was implemented, incorporating lane analysis and obstacle detection through image processing. The framework was tested using image datasets and real captures with satisfactory results.
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机译:Aggregating Data for the Flow-Intercepting Location Model: A Geographic Information System, Optimization, and Heuristic Framework. 截流选址模型的数据集计: 一个地理信息系统、优化和探索性框架